Bm25

• Sparse Retrieval

  Retrieval using inverted-index term matching and scoring functions like BM25 or TF-IDF; contrasts with dense nearest-neighbour methods.

• Comparing BM25 and Dense Retrieval for a Product Catalogue

  A side-by-side evaluation of keyword search and embedding-based search on a realistic product dataset, showing where each approach wins and how hybrid search splits the difference.